Research output per year
Research output per year
Personal profile
Primary fields of research
Medical image analysis for diagnosis of various diseases, notably discovering breat cancer at an early stadium.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- Faculty of Science
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Change in mammographic density across birth cohorts of Dutch breast cancer screening participants
Napolitano, G. M., Lynge, E., Lillholm, M., Vejborg, I. M. M., van Gils, C. H., Nielsen, M. & Karssemeijer, N., 1 Dec 2019, In: International Journal of Cancer. 145, 11, p. 2954-2962 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies
Petersen, J., Arias-Lorza, A. M., Selvan, R., Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, M. & de Bruijne, M., Jul 2019, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.Research output: Contribution to journal › Journal article › Research › peer-review
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Knowledge Distillation for Semi-supervised Domain Adaptation
Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, C., Ourselin, S., Modat, M., Nielsen, M. & Pai, A., 1 Jan 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer VS, p. 68-76 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multi-domain adaptation in brain MRI through paired consistency and adversarial learning
Orbes-Arteaga, M., Varsavsky, T., Sudre, C. H., Eaton-Rosen, Z., Haddow, L. J., Sørensen, L., Nielsen, M., Pai, A., Ourselin, S., Modat, M., Nachev, P. & Cardoso, M. J., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (eds.). Springer VS, p. 54-62 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11795 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation
Orbes-Arteaga, M., Sørensen, L., Cardoso, J., Modat, M., Ourselin, S., Sommer, S. H., Nielsen, M., Igel, C. & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark
von Euler-Chelpin, M., Lillholm, M., Vejborg, I., Nielsen, M. & Lynge, E., 17 Oct 2019, In: Breast Cancer Research. 21, 1Research output: Contribution to journal › Journal article › Research › peer-review
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The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study
Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, M. & de Bruijne, M., 2019, In: Neurobiology of Aging. 81, p. 58-66Research output: Contribution to journal › Journal article › Research › peer-review
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Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling
Mehdipour Ghazi, M., Nielsen, M., Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., Apr 2019, In: Medical Image Analysis. 53, p. 39-46Research output: Contribution to journal › Journal article › Research › peer-review
Datasets
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Taxometer: Improving taxonomic classification of metagenomics contigs
Kutuzova, S. (Creator), Nielsen, M. (Creator), Lindez Piera, P. (Creator), Nybo Nissen, J. (Creator) & Rasmussen, S. (Creator), Zenodo, 2024
DOI: 10.5281/zenodo.13379588, https://zenodo.org/records/13379588
Dataset